MuMiN is a misinformation graph dataset containing rich social media data (tweets, replies, users, images, articles, hashtags), spanning 21 million tweets belonging to 26 thousand Twitter threads, each of which have been semantically linked to 13 thousand fact-checked claims across dozens of topics, events and domains, in 41 different languages, spanning more than a decade.
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WikiText-TL-39 is a benchmark language modeling dataset in Filipino that has 39 million tokens in the training set.
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NewsPH-NLI is a sentence entailment benchmark dataset in the low-resource Filipino language.
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Expertly-curated benchmark dataset for fake news detection in Filipino.
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